No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Cocoanetics · MCP Server · ★ 163
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is SwiftMCP safe to install? View the security audit →
SwiftMCP A Swift implementation of the MCP (Model Context Protocol) for JSON-RPC over various transports. Features Multiple transport options Standard I/O (stdio) for command-line usage HTTP+SSE (Server-Sent Events) for web applications TCP+Bonjour for local discovery over raw TCP JSON-RPC 2.0 compliant with OpenAPI generation Built-in authorization and optional OAuth validation Transparent OAuth proxy mode for MCP and OpenAPI Cross-platform compatibility Server Features Tools – expose functions with Resources – publish data with Prompts – build prompts using Utilities Progress notifications via Structured logging streamed through Completion suggestions for parameters (defaults for and ) Client Features Roots – dynamic filesystem roots announced by the client Sampling – request small previews of client files Installation Add SwiftMCP as a dependency in your : Package traits SwiftMCP exposes its optional feature areas as SwiftPM package traits, all enabled by default — existing consumers and a plain are unaffected. The single module is
| Stars | 163 |
| Forks | 18 |
| Language | Swift |
| Category | MCP Server |
| License | BSD-2-Clause |
| Quality Score | 69.445695356339/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-29 |
| Created | 2025-03-10 |
| Platforms | mcp |
| Est. Tokens | ~18k |
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SwiftMCP is Model Context Protocol Server for Swift. It is categorized as a MCP Server with 163 GitHub stars.
SwiftMCP is primarily written in Swift.
You can find installation instructions and usage details in the SwiftMCP GitHub repository at github.com/Cocoanetics/SwiftMCP. The project has 163 stars and 18 forks, indicating an active community.
SwiftMCP is released under the BSD-2-Clause license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: